Recent Progress in Log-Concave Density Estimation
Accepted version
Peer-reviewed
Repository URI
Repository DOI
Change log
Authors
Samworth, Richard J
Abstract
In recent years, log-concave density estimation via maximum likelihood
estimation has emerged as a fascinating alternative to traditional
nonparametric smoothing techniques, such as kernel density estimation, which
require the choice of one or more bandwidths. The purpose of this article is to
describe some of the properties of the class of log-concave densities on
Description
Keywords
Log-concavity, maximum likelihood estimation
Journal Title
STATISTICAL SCIENCE
Conference Name
Journal ISSN
0883-4237
2168-8745
2168-8745
Volume Title
33
Publisher
Institute of Mathematical Statistics
Publisher DOI
Sponsorship
Engineering and Physical Sciences Research Council (EP/J017213/1)
Leverhulme Trust (PLP-2014-353)
Engineering and Physical Sciences Research Council (EP/N031938/1)
Engineering and Physical Sciences Research Council (EP/P031447/1)
Leverhulme Trust (PLP-2014-353)
Engineering and Physical Sciences Research Council (EP/N031938/1)
Engineering and Physical Sciences Research Council (EP/P031447/1)